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Machine Learning and Internet of Things

MSc
Duration
1 year
Start
September 2025
Delivery
In-person

Immerse yourself in the emerging field of engineering, computing and statistics on our MSc in Machine Learning and Internet of Things programme.

Why study with us

  • Choose an optional module based on your own academic interests. Options are available for signal processing, computer vision, sensors and instruments.
  • Learn from an expert team. Your tutors have research interests and experience in the field of data science and its applications.
  • Participate in a School Expo, presenting your project to an external audience including industry representatives.
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What you'll do

  • Access world-class facilities and expertise in machine learning, internet of things and related applications.
  • Located within one of the most intense engineering and manufacturing areas in the UK, our £35m Engineering Innovation Centre provides a space for teaching, research and work on real-world projects with commercial partners.
  • You will also have option to contribute to the ongoing biomedical data analytics projects brought about by our collaborative links with the health sector.

Modules

Compulsory modules

These modules are set and you have to study these as part of your course.

Optional modules

Depending on how many compulsory modules you take, you may be able to choose optional modules to make up your course.

Every effort has been made to ensure the accuracy of our published course information. However, our programmes are subject to ongoing review and development. Changing circumstances may cause alteration to, or the cancellation of, courses. Changes may be necessary to comply with the requirements of accrediting bodies or revisions to subject benchmarks statements. We may also make changes to keep courses updated and contemporary, or as a result of student feedback. We reserve the right to make variations if we consider such action to be necessary or in the best interests of students.

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How to apply

Accreditations

Academic expertise

KF
Dr Katerina Fragaki
Senior Lecturer in Renewable Energy
Dr Nathalie Renevier
Principal Lecturer
Patrick Ryan
Senior Lecturer
Dr Stephen Sigurnjak
Senior Lecturer
Dr Yu Zhou
Senior Lecturer

Future careers

As a graduate, you will be equipped with skills in working on modern machine learning and IoT projects in both an individual and a team capacity. Upon graduation you may apply for a PhD.

Studying Machine Learning and Internet of Things could lead to the following careers:

  • Machine learning engineer
  • Machine learning scientist
  • Data translator

Entry requirements

  • Applicants should hold at least 2:2 degree which includes programming modules
  • Applicants who do not meet the above requirements can be considered individually subject to an interview
  • IELTS: 6.0 with no components lower than 5.5

Fees and funding

2025/26
UK
Full-time£9,450 per year
Part-time£1,050 per 20 credits
International
Full-time£17,900 per year

Scholarships and bursaries

We have a wide range of bursaries, scholarships and funds available to help support you whilst studying with us.

Select your country to see eligibility information and how to apply by selecting more info on the cards below.

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This course is delivered by the School of Engineering and Computing

For information on possible changes to course information, see our essential and important course information

You can find regulations and policies relating to student life at the University of Central Lancashire on our student contract page